association_genetic_rupali_UIT

用matlab分析bPSK和qpsk的误码率，其中有psk信号的调制与解调(psk)

matlab finite element code for solving pdes

Audio Stegnography by using LSB Agorithms...

说明：  matlab 程序 是自己写的，太简单科别笑我 希望有人支持(matlab program is written in their own, too simple divisions laugh, I hope there is support for)

自适应控制中，用Matlab算法实现带遗忘因子递推最小二乘参数估计(Forgetting factor recursive least squares parameter estimation)

加州大学的MATLAB人脸识别代码，采用了图像结构模型，可以很好地识别人脸(University of California MATLAB code for face recognition, using the image structure model, can be a good face recognition)

盲信号分离的源信号模型，要更好的了解和利用时间序列的内在时间结构和复杂特性，通常可以采用相应的数学模型区近似描述各种类型的数据，该程序采用泛化自回归模型来产生盲源信号(Blind signal separation of the source signal model, we must better understand and leverage the structure of time series Neizai He Fuzatexing time can generally be adopted similar to the corresponding mathematical model Ou Miaoshu type of data, Gai Chengxu using generalized regression models to blind signal generated)

face recognition with lda+pca

基于遗传算法，在matlab中解决TSP问题 试算过 无误。(MATLAB TSP GA)

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm. )